William Hendrix

701 citations
33 papers · 447 · h-index 9

Impact in

Papers in

William Hendrix

31 papers receiving 426 citations

Peers

William Hendrix
Comparison fields: 5 of 76
  • Statistical and Nonlinear Physics 130
  • Hardware and Architecture 50
  • Computer Networks and Communications 166
  • Communication 48
  • Artificial Intelligence 207
Replace Guoyong Cai with:
Guoyong Cai China
Luke K. McDowell United States
Shengjie Wang China
Gilles Trédan France
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Citations per field
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Citations per year

Countries citing papers authored by William Hendrix

Since Specialization
Citations

This map shows the geographic impact of William Hendrix's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William Hendrix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Hendrix more than expected).

Fields of papers citing papers by William Hendrix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Hendrix. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William Hendrix. The network helps show where William Hendrix may publish in the future.

Co-authors

The 25 scholars most cited alongside William Hendrix, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Hendrix Line = papers co-authored together William Hendrix links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201179
2 201278
3 201450
4 201447
5 201032
6 201531
7 201219
8 201217
9 201316
10 20118
11 20167
12 20167
13 20136
14 20086
15
Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
20155
16
Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction
20125
17 20084
18 20154
19 20144
20 20104

About William Hendrix

William Hendrix is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Molecular Biology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 447 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Bioinformatics and Genomic Networks (6 papers), Advanced Clustering Algorithms Research (4 papers), Gene expression and cancer classification (4 papers), Opinion Dynamics and Social Influence (4 papers), Caching and Content Delivery (2 papers), Graph Theory and Algorithms (2 papers) and Error Correcting Code Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (130 citations), Hardware and Architecture (50 citations), Computer Networks and Communications (166 citations), Communication (48 citations) and Artificial Intelligence (207 citations). William Hendrix has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Zhengzhang Chen, Wei‐keng Liao, Alok Choudhary, Nagiza F. Samatova, Ankit Agrawal, Diana Palsetia, Seung Woo Son, Kathy Lee, Alok Choudhary and Md. Mostofa Ali Patwary. Their work appears in journals such as Theoretical Computer Science, Journal of Motor Behavior, Tellus A Dynamic Meteorology and Oceanography, Modern Language Journal and Communications of the ACM.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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